Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory
نویسندگان
چکیده
منابع مشابه
Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720-1770, USA 2Flarion Technologies Inc., Bedminster, NJ 07921, USA 3Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA 4Department of Electrical Engineering and Computer Sciences...
متن کاملEstimation error bounds for denoising by sparse approximation
If a signal is known to have a sparse representation with respect to a given frame, thc signal can he estimated from a noise-corrupted observation of the signal by finding the hest sparse approximation to the observation. ‘The ability to remove noise in this manner depends on the frame heing designed to efficiently represent the signal while it ine@cienf/v represents the noise. ‘This paper give...
متن کاملEstimation via Sparse Approximation : Error Bounds and Random Frame Analysis
Estimation via Sparse Approximation: Error Bounds and Random Frame Analysis
متن کاملRate-Distortion Bounds for Kernel-Based Distortion Measures
Kernel methods have been used for turning linear learning algorithms into nonlinear ones. These nonlinear algorithms measure distances between data points by the distance in the kernel-induced feature space. In lossy data compression, the optimal tradeoff between the number of quantized points and the incurred distortion is characterized by the rate-distortion function. However, the rate-distor...
متن کاملA sparse-response deep belief network based on rate distortion theory
Deep belief networks (DBNs) are currently the dominant technique for modeling the architectural depth of brain, and can be trained efficiently in a greedy layer-wise unsupervised learning manner. However, DBNs without a narrow hidden bottleneck typically produce redundant, continuous-valued codes and unstructured weight patterns. Taking inspiration from rate distortion (RD) theory, which encode...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2006
ISSN: 1687-6172,1687-6180
DOI: 10.1155/asp/2006/26318